India Lead knowledge engineer semantic web Jobs – 86 Open Jobs Today

Senior Technical Lead
HCLTech —Hyderabad, Telangana
- Azure
- AWS
- APIs
8d
Specialist Software Architect
Nice —Pune, Maharashtra
- Remote
- Computer Science
- DevOps
- System design
Senior Front End Developer
RX —Chennai, Tamil Nadu
- Full-time
- Software development
- APIs
- Agile
- Health insurance
- Paid time off
Senior Front End Developer
RELX —Chennai, Tamil Nadu
- Full-time
- Software development
- APIs
- Agile
- Health insurance
- Paid time off
Senior Full Stack Engineer
Tarento Technologies Pvt. Ltd. —Bengaluru, Karnataka
- Master's degree
- Databases
- JavaScript
Sr MGR, Software Engineer
Circana —Bengaluru, Karnataka
- Full-time
- Oracle
- System design
- Java
Senior AI Engineer - LLM Evaluation
Autodesk —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Manager, Engineering
Insight Software —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- B.Sc
Sr. AI Lead
EDMO —Pune, Maharashtra
- Full-time
- Salesforce
- Java
- Master's degree
Quick apply
Associate Principal Engineer
Nagarro —Chennai, Tamil Nadu
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
2d
Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing
Mahindra & Mahindra Ltd —Mumbai, Maharashtra
- Azure
- Computer Science
- Master's degree
SEO Manager (AI Search & Organic Growth)
Briskon —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Computer Science
- Marketing
10d
IT Developer
Medtronic —Nanakramguda, Hyderabad, Telangana
- Full-time
- Oracle
- Salesforce
- Databases
Sr. Web Developer (Full Stack)
Mastercard —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Java
Data Scientist Gen AI- Offshore
EXL Service —Gurugram, Haryana
- Full-time
- Azure
- Master's degree
- AWS
Sr MGR, Software Engineer
Circana India —Bengaluru, Karnataka
- Hybrid work
- Oracle
- System design
- Java
Quick apply
Senior Power Platform Application Developer
Advanced Energy Industries, Inc. —Pune, Maharashtra
- Weekend availability
- Azure
- Computer Science
- Master's degree
Specialist II - Data Science
UST —Pune, Maharashtra
- System design
- Master's degree
- Databases
Principal Search Architect
Microsoft —Hyderabad, Telangana
- Full-time
- Computer Science
- Windows
- Java
Senior Full Stack (React + Python ) Developer Role
Fractal Analytics —Bengaluru, Karnataka
- Full-time
- Azure
- Software troubleshooting
- DevOps

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Senior Technical Lead

HCLTech -
Hyderabad, Telangana

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Job details

8 days ago

Qualifications

CI/CD
Azure
Kubernetes
Enterprise Software
OS Kernels
AWS
Docker
Continuous integration
APIs
Web services
SaaS
AI
Graph databases
Python

Full job description

Hyderabad, Telangana
Job Summary

AI/ML Engineer – Technical Skill Set (Agentic AI Focus)

1. Core Programming & Systems Skills Python (expert level) for ML, orchestration, and agent logic Strong understanding of async programming, concurrency, and task scheduling Shape 2. Foundations of Agentic AI Design and implementation of autonomous AI agents capable of: Multi‑step reasoning and planning Goal decomposition and task orchestration Dynamic decision‑making under uncertainty Experience with agent architectures: ReAct, Plan‑and‑Execute, Reflexive agents Hierarchical / multi‑agent systems Tool‑augmented and function‑calling agents Understanding of stateful vs stateless agents and memory management Shape 3. Large Language Models (LLMs) Hands‑on experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open‑source models) Prompt‑engineering techniques for: Reasoning (Chain‑of‑Thought, Self‑Reflection) Planning and critique loops Instruction following and tool use Experience with: Few‑shot and zero‑shot prompting Model selection trade‑offs (latency, cost, context length) Knowledge of fine‑tuning / adapters (LoRA) is a plus Shape 4. Agent Frameworks & Tooling Practical experience with agent frameworks, such as: LangGraph / LangChain (agents, tools, memory) Semantic Kernel AutoGen, CrewAI, or similar Ability to build custom agent orchestration layers beyond frameworks Tool abstraction and execution safety (timeouts, retries, sandboxing) Shape 5. Memory, Context & Knowledge Augmentation Design of agent memory systems: Short‑term (conversation/state memory) Long‑term (episodic, semantic memory) Retrieval‑Augmented Generation (RAG): Vector databases (FAISS, Pinecone, Azure AI Search, etc.) Embedding selection and chunking strategies Techniques for context management and compression Knowledge graph–augmented or hybrid memory (plus) Shape 6. Planning, Reasoning & Control Experience implementing: Task planners (step planning, re‑planning) Constraint‑based execution Feedback and self‑correction loops Understanding of: Tool reliability scoring Guardrails and action validation Failure detection and graceful recovery Shape 7. MLOps & AgentOps Deployment of agents into production environments Observability for agents: Tracing agent decisions and tool calls Logging prompts, responses, and errors Model and prompt versioning CI/CD for agent systems Experience with Docker, Kubernetes, serverless deployments (Azure/AWS) Shape

8. Evaluation & Testing of Agentic Systems Designing evaluation frameworks for agents: Task success rate Cost, latency, and reliability Safety and hallucination detection Offline test harnesses and simulation environments A/B testing of prompts, tools, and agent strategies

9. Security, Safety & Responsible AI Secure tool execution and privilege control Prompt‑injection and jailbreak risk mitigation Data privacy and isolation in agent memory Responsible AI practices: Bias awareness Explainability of agent decisions Human‑in‑the‑loop escalation patterns Shape

10. Data & Integration Skills Integration with: Enterprise systems (CRM, ERP, databases) Web services, internal APIs, and SaaS tools Working knowledge

11. Cloud & Platform Expertise Strong experience with at least one cloud platform: Azure (preferred for enterprise agentic AI), AWS, or GCP Managed AI services, identity & access, secrets management Cost optimization for

Key Responsibilities
null
Skill Requirements

Python (ML, orchestration)

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lead knowledge engineer semantic web jobs in india

Senior Technical Lead

Specialist Software Architect

Senior Front End Developer

Senior Front End Developer

Senior Full Stack Engineer

Sr MGR, Software Engineer

Senior AI Engineer - LLM Evaluation

Senior Manager, Engineering

Sr. AI Lead

Associate Principal Engineer

Digitization & Analytics Manager - Digitization & Analytics Manager - Strategic Sourcing

SEO Manager (AI Search & Organic Growth)

IT Developer

Sr. Web Developer (Full Stack)

Data Scientist Gen AI- Offshore

Sr MGR, Software Engineer

Senior Power Platform Application Developer

Specialist II - Data Science

Principal Search Architect

Senior Full Stack (React + Python ) Developer Role

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